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Our Extended Enterprise team, a part of Cyber and Technology &amp; Transformation at Deloitte, is one of the fastest-growing practices within the firm. We are dedicated to supporting companies in assessing and managing risks associated with IT products and services, guiding them towards risk minimisation while optimising the balance between risk and business performance.What We Do:We offer comprehensive operational, strategic, and methodological support aimed at optimising IT asset costs, improving IT governance, and streamlining processes. Leveraging our extensive experience in model implementation and end-to-end managed service technology solutions, we guide companies through their digital transformation journey to achieve critical strategic objectives.As a&nbsp;Technology&nbsp;Consultant, you will play a pivotal role in supporting our clients during the management of their IT ecosystems improving their efficiency and maximizing their investments. This role offers a unique opportunity to work on diverse projects, collaborating with cross-functional teams and leveraging your expertise to deliver value-added insights. Junior ServiceNow Technical Consultant&nbsp;Role SummaryWe are looking for a Junior ServiceNow Consultant/Developer with programming foundations and interest in IT Asset Management, Contract Management and Risk. The role supports senior consultants in platform configuration and development.Key Responsibilities<ul><li>Configure forms, UI Policies, Business Rules, Flow Designer workflows.</li><li>Support SAM Pro activities: models, contracts, software inventory data.</li><li>Support Contract Management: contract records, workflows, renewal tracking.</li><li>Support TPRM/IRM: assessments, questionnaires, scoring and issue tracking.</li><li>Prepare documentation, testing scripts and troubleshooting analysis.</li></ul>Required Skills<ul><li>Basic JavaScript, HTML/CSS, JSON, REST.</li><li>Understanding of databases and data modeling.</li><li>Interest in ITAM, IRM, process automation and enterprise platforms.</li><li>Good Analytical and communication skills</li></ul>Preferred CertificationsCSA (nice to have), ITIL, basic ServiceNow training. ServiceNow Technical Consultant – Experienced ProfileRole SummaryWe are looking for an experienced ServiceNow Technical Consultant with solid knowledge of Software Asset Management (SAM Pro), Contract Management and Third-Party Risk Management (TPRM). The role includes design, configuration, and optimization of solutions across ITAM, Legal/Procurement and Risk.Key Responsibilities<ul><li>Implement and maintain SAM Pro (discovery, normalization, reconciliation, optimization).</li><li>Configure Contract Management workflows, renewals, clauses, notifications and analytics.</li><li>Support IRM/TPRM processes: vendor onboarding, assessments, scoring, issue tracking.</li><li>Develop configs and automations: Business Rules, Client Scripts, UI Policies, Flow Designer.</li><li>Integrate ServiceNow with inventory, procurement, contract or risk systems.</li><li>Provide technical leadership, documentation, testing and platform governance.</li></ul>Required Skills<ul><li>Strong ServiceNow experience across ITAM/SAM, Contract Management, IRM.</li><li>Good scripting: JavaScript, Glide, Flow Designer, REST API.</li><li>Knowledge of software licensing, contract lifecycle and risk frameworks.</li><li>Good communication and stakeholder alignment.</li></ul>•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;You obtained a&nbsp;Bachelor or Master degree in Business, Computer Science and Information Technology, Computer Information Systems, or have an equivalent qualification.Preferred Certifications•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;CSA, CIS-SAM, CIS-ITAM, CIS-Risk/IRM, ITIL. If you're ready to take your career to the next level in a challenging international environment, focusing on continuous learning and dynamic teamwork, both in Greece and abroad, you're ready for Deloitte!#WhatWeOfferAt Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits:🏠&nbsp;Modern hybrid workplace, characterized by flexibility and Smart Working⚖&nbsp;Empowered well-being: We provide multiple program offerings to support your well-being needs (flexible working arrangements, extra days of leave, parental allowances)🌍&nbsp;Engagement within international large-scale teams and projects, with opportunities to travel for training or client purposes.📚&nbsp;Constant opportunities for learning with unlimited access to internal and external learning platforms and sponsored certificates aligned with business needs and technology trends🚀&nbsp;Challenging and innovating environment where personal development and growth are encouraged, always with transparency and trust?&nbsp;Diverse culture and active communities that enable you to bring yourself to work🎉&nbsp;Team Building and Corporate Social Responsibility Activities🏃&nbsp;A buddy to support you with your onboarding🌴&nbsp;Extra days of annual leave⚕&nbsp;Private medical health insurance plan💳&nbsp;Ticket restaurant card?&nbsp;Exclusive Discounts to several retail providers, restaurants and others📱&nbsp;Mobile phone🍏&nbsp;Fresh fruits and unlimited coffee everyday at our officesPlease note that all the well-being benefits mentioned above are subject to annual review

Technical IT Asset Management Consultant (ServiceNow - SAM Pro)

The Senior Associate will work on a solutions engineering development team located in Greece supporting Revenue Management Market Access and Contract Operation Business Division of US market as a contributor on multiple projects based on client demands such system enhancements and GenAI solutions engineering.&nbsp;Considering the current needs, we seek a Senior Associate who will predominantly work on GenAI solutions projects and then will be utilized in business-as-usual enhancements.ROLE RESPONSIBILITIESSolutions Engineering &amp; Developer work:<ul><li>Collaborate with business partners and digital leads and develop and deliver solutions such as:<ul><li>Develop and maintain AI engineering components, pipelines, and reusable frameworks supporting enterprise use cases.</li><li>System and interfaces enhancements in the main Contract Management platform called Flex (ModelN) &nbsp;according to business requirements in SQL, UNIX, Informatica.</li><li>Reports that inform business decision making leveraging mainly Business Object technology.</li></ul></li></ul>Design and documentation:<ul><li>Conduct requirements analysis and technical documentation of the solutions.</li><li>Responsible for coordinating the deployment process with various Pfizer Digital teams.</li><li>Must be able to multi-task and perform a wide variety of tasks simultaneously such as organize presentations for upper management, perform system testing, and organize meetings.</li></ul>Collaboration and Integration:<ul><li>Partner with developers, Support Teams, and Digital Leads to translate requirements into production-grade implementations.</li><li>Participate in technical design reviews and support integration with internal platforms and enterprise systems.</li></ul>BASIC QUALIFICATIONS<ul><li>Bachelor’s degree required, preferably in a Computer Science or Computer Engineering or Information Technology field</li><li>3+ years of experience in a large corporate setting with an emphasis on solutions and application development or software engineering roles.</li><li>Strong proficiency in most of the following languages/tech: Python, Oracle, PL/SQL, SQL, Snowflake, Informatica, Business Objects, Tableau, AWS, Unix Scripting.</li><li>Experience working with cloud platforms (Azure, AWS, or GCP).</li><li>Willingness to take risks without fear of making mistakes.</li><li>Understanding of solutions delivery and delivery methodologies including Waterfall and Agile.</li><li>Strong analytical organization and critical thinking skills.</li><li>Strong written, visual, and verbal communication skills.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Technology solutions delivery in a pharmaceutical or regulated environment.</li><li>Competency in understanding organizational behaviors in a large corporate environment.</li><li>Understanding of Software Development Life Cycle management including requirements definition, design, testing and implementation.</li><li>Experience with external Contract Management vendor solutions such as the ModelN FLEX application.</li><li>Knowledge of database, storage, hosting, cloud, application, analytics and services technologies.</li><li>Experience building relationships with both business partners and Digital technical teams.</li></ul>&nbsp;&nbsp;

Senior Associate, Solutions Engineer 4949847

We're looking for a strategic and operationally-minded&nbsp;Pricing Manager (Revenue &amp; Commercial Excellence) to lead our revenue optimization initiatives across European operations. This is a unique opportunity to build enterprise-grade pricing frameworks, standardize best practices across multiple countries, and drive sustainable margin improvement through pricing discipline and process excellence.&nbsp;You'll be the architect of our pricing and revenue excellence capabilities, working at the heart of our commercial operations.You will lead the design and implementation of :<ul><li>Standardized pricing frameworks&nbsp;across countries, service lines, and client segments—including rate cards and indexation templates</li><li>End-to-end process orchestration&nbsp;for change request management—from intake through pricing, client response, invoicing, and contract compliance</li><li>Revenue protection mechanisms&nbsp;ensuring full application of contractual terms, including inflation adjustments and indexation clauses</li><li>Pricing analytics and governance&nbsp;that provide visibility and drive continuous improvement</li><li>Commercial enablement&nbsp;through tools, templates, and training across our European teams</li></ul>&nbsp;&nbsp;Day-to-Day Responsibilities&nbsp;Strategic Pricing &amp; Framework Design<ul><li>Develop and implement standardized rate cards across European markets</li><li>Create country-specific indexation clause templates that ensure automatic price adjustments</li><li>Design pricing methodologies for different engagement types (T&amp;M, fixed price, value-based)</li><li>Establish pricing governance and approval workflows with built-in compliance checks</li></ul>&nbsp;Revenue Protection &amp; Optimization<ul><li>Implement controls to ensure complete and accurate invoicing of delivered work</li><li>Design processes to systematically apply inflation clauses and indexation adjustments</li><li>Create monitoring mechanisms to track contract compliance and revenue realization</li><li>Develop analytics to identify and close revenue leakage gaps</li></ul>&nbsp;Process Excellence<ul><li>Build end-to-end processes for managing opportunities and change requests</li><li>Design templates, tools, and playbooks that embed pricing discipline across the organization</li><li>Implement checkpoints ensuring contractual terms (pricing, indexation, scope) are properly applied</li><li>Develop pricing and revenue analytics dashboards to track performance and inform decisions</li><li>Cross-Functional Leadership</li><li>Partner with country managers, delivery teams, and finance to align on commercial practices</li><li>Train and coach teams on pricing processes, contract management, and best practices</li><li>Serve as the pricing authority for complex or strategic opportunities</li><li>Drive adoption and behavioral change across the organization</li></ul>&nbsp;Continuous Improvement<ul><li>Monitor market trends, inflation indices, and competitive positioning</li><li>Gather stakeholder feedback to refine frameworks and processes</li><li>Identify automation and digitization opportunities</li><li>Stay current on pricing innovation and revenue optimization best practices</li></ul>&nbsp;Who are we looking for&nbsp;<ul><li>5 years minimum in management consulting&nbsp;(strategy, operations, or pricing practices preferred) or similar high-performing environment</li><li>Analytical rigor: Comfortable with data analysis, financial modeling, and translating insights into actionable strategies</li><li>Process design mindset: Proven ability to create scalable frameworks and drive operational transformation</li><li>Business acumen: Understanding of B2B pricing, margin dynamics, contract management, and value realization</li><li>Stakeholder management: Ability to influence and align cross-functional teams across geographies</li><li>Entrepreneurial executor: You identify opportunities and drive them to completion autonomously</li><li>Fluent English&nbsp;(additional European languages a plus)</li></ul>&nbsp;Nice to Have:<ul><li>Experience with rate card development, indexation mechanisms, or pricing tool implementation</li><li>Background in professional services, consulting, or project-based businesses</li><li>Understanding of inflation indexation and contract price adjustment mechanisms</li><li>Track record in change management and driving organizational adoption</li><li>Understanding of multi-country European operations and local market dynamics</li></ul>&nbsp;

Pricing Manager - Revenue & Commercial Excellence (F/H) Thessaloniki

As Senior Manager, DevOps Engineer (Individual Contributor), you will be the build, release, and reliability backbone for our Python SDK—a pip-installable package that provides reusable, modular AI capabilities (RAG components, agent/tool cookiecutters, MCP adaptors, standardized interfaces). You will design automated pipelines that enforce code quality, security, reproducibility, benchmarking, and integration tests for the SDK and ensure compatibility and operability for platform services that consume it.You’ll collaborate closely with:<ul><li>Embedded AI Architecture &amp; Solution Design to prioritize capabilities and validate interfaces against real solution patterns.</li><li>AI Engineering to align PI increments and integrate external technologies into the SDK.</li><li>Digital Creation Centers &amp; Forward Impact Teams (FITs) as consumers of the SDK in products/services, capturing feedback to refine release ergonomics.</li><li>Evaluation &amp; QA, Developer Experience, and LLMOps &amp; AI Integration engineers to make quality and operability automatic.</li></ul>Why this Role MattersFor a Python SDK to scale safely, we need rock‑solid packaging, dependency hygiene, and CI/CD: reproducible builds, secure artifacts, versioning discipline, and automated tests/benchmarks that guard against regressions. Your work turns modular capabilities into enterprise‑grade libraries that downstream services can rely on—ensuring consistent behavior, faster time‑to‑first‑success, and audit‑ready releases.ROLE RESPONSIBILITIES1) Python Packaging, Build &amp; Distribution<ul><li>Own build and release for the SDK: wheel/sdist creation, and reproducible builds.</li><li>Enforce semantic versioning, backward compatibility checks, and changelogs; design safe migration paths (deprecation policies, compatibility shims).</li><li>Standardize artifact repositories: internal PyPI (Dev/Stage/Prod indices), package signing, and promotion workflows with automated quality gates.</li></ul>2) CI/CD for Libraries &amp; Supply Chain Security<ul><li>Design CI/CD pipelines (e.g., GitHub Actions/Azure DevOps/GitLab CI) to automate linting, type checking, unit/integration tests, coverage, and style enforcement (black/ruff/mypy/pytest).</li><li>Integrate dependency auditing and vulnerability scanning, license compliance, and SBOM generation; implement artifact signing and provenance (SLSA‑like controls).</li><li>Codify policy‑as‑code (e.g., OPA/Conftest) so releases only ship when tests, coverage, docs, and security gates pass.</li></ul>3) Benchmarking, Performance &amp; Integration Testing<ul><li>Collaborate with Evaluation &amp; QA Engineers to build benchmark harnesses for RAG components, connectors, rankers, and agent/tool modules; track latency/cost envelopes and regressions over time.</li><li>Orchestrate integration tests against common stacks (vector databases, storages, identity providers) to validate interface contracts used by platform services.</li><li>Maintain regression baselines and performance dashboards; fail builds on significant regressions.</li></ul>4) Operability for Consumers (SDK↔Service Parity)<ul><li>Embed observability hooks appropriate for libraries (structured logging, configurable metrics/traces) so services consuming the SDK can integrate telemetry consistently.</li><li>Define interface contracts and runtime configuration patterns (config schema, secrets management integration points) that downstream services must honor.</li><li>Partner with platform teams to publish service readiness guides built on SDK interfaces (env parity, retry/backoff, error models).</li></ul>5) Environments, Reproducibility &amp; Tooling<ul><li>Design isolated test environments and fixtures for data, vector stores, and external dependencies; leverage tox/pytest‑xdist for matrix runs.</li><li>Own Infrastructure-as-Code limited to test/development environments and CI runners; ensure deterministic builds and environment parity.</li><li>Optimize pipeline performance (caching wheels, parallelization) and track DORA‑style delivery metrics to continuously improve.</li></ul>6) Developer Experience &amp; Contribution Workflows<ul><li>Collaborate with Developer Experience Engineers to produce developer‑ready artifacts (quickstarts, sample apps, docs bundles generated during CI).</li><li>Standardize contribution workflows: feature branches, PR checks, mandatory tests/benchmarks/docs acceptance criteria; enable community extensions safely.</li><li>Provide CLI/tooling or cookiecutters that scaffold new SDK modules with tests, docs, and benchmark hooks prewired.</li></ul>7) Collaboration &amp; Continuous Improvement<ul><li>Align pipeline policies with AI Capability Architecture Lead and ensure SDK interface consistency for downstream service teams.</li><li>Close feedback loops with Embedded Architecture, Solution Design, AI Engineering, Creation Centers, and FITs to prioritize pipeline and release ergonomics improvements.</li><li>Lead post‑release retrospectives to reduce defects, MTTR, and onboarding friction for consuming teams.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>7+ years in DevOps/SRE/Build &amp; Release engineering, with significant experience in Python packaging and library delivery (wheels/sdists, internal PyPI).</li><li>Expert in CI/CD for libraries (GitHub Actions/Azure DevOps/GitLab CI) and artifact management (PyPI/private indices, container registries as needed for test harnesses).</li><li>Strong hands‑on with cloud‑native development and CI runners; proficiency with IaC for build/test environments.</li><li>Proven track record implementing quality gates: automated tests, secrets management, test coverage, dependency/security scanning, SBOMs/signing, policy‑as‑code.</li><li>Experience embedding observability hooks for libraries and defining interface contracts for service consumers.</li></ul>Preferred Qualifications<ul><li>Familiarity with GenAI/LLM ecosystems (RAG pipelines, vector stores, agent/tool frameworks, MCP adaptors) and their benchmarking/testing needs.</li><li>Background in performance engineering for Python (profiling, async/concurrency, I/O, data pipelines) and managing latency/cost regressions.</li><li>Experience with open-source contribution workflows, multi‑language SDK delivery (Python primary; TypeScript/Java nice-to-have), and semantic versioning discipline.</li><li>Exposure to regulated environments and audit‑ready release documentation.</li><li>Comfortable partnering across architecture, QA, DX, LLMOps, platform, and product teams in a matrixed organization.</li></ul>

Senior Manager, DevOps 4949161

Our client is a leading international tech company with 300+ employees all over the world. The company has established a R&amp;D Center and Tech Hub in Thessaloniki with 40+ colleagues focused on hardware, electronics and software solutions. They are currently expanding their team and are looking for a Project Manager in Thessaloniki.&nbsp;Responsibilities :<ul><li>Oversee and manage all aspects of project management, including expediting, inspection, and logistics management</li><li>Ensure projects are completed on time and within budget</li><li>Develop comprehensive project plans to guide project execution and monitor progress</li><li>Coordinate and manage resources effectively to achieve project objectives</li><li>Identify, assess, and manage project risks and issues, ensuring timely resolution</li><li>Maintain strong stakeholder communication and satisfaction throughout the project lifecycle</li></ul>Candidate profile:<ul><li>Bachelor’s degree in Engineering or a related field</li><li>7+ years of experience in a similar role</li><li>Proven expertise in expedited project management, expediting, and inspection</li><li>Strong project management skills, including budget management, resource allocation, and risk mitigation</li><li>Hands-on experience with logistics management</li><li>Fluency in English; excellent communication skills in both Greek and English</li><li>Exceptional problem-solving, analytical, and decision-making abilities</li><li>Proven ability to manage multiple projects and priorities simultaneously</li><li>Demonstrated ability to thrive in a collaborative, team-oriented environment</li><li>PMP certification is a strong plus</li></ul>Our client offers:<ul><li>Unlimited contract</li><li>Hybrid work environment</li><li>Flexible working arrangements</li><li>Medical Care package</li><li>An international working environment</li><li>Opportunities for personal development and training</li><li>Relocation package for applicants abroad</li></ul>If you are interested, please send your CV to&nbsp;paschalina.mikie@grecruitment.com

Senior Project Manager (hybrid)

As Senior Manager, Evaluation &amp; QA Engineer (Individual Contributor), you will own the quality, evaluation, and reliability strategy for our pip‑installable AI Capabilities SDK and its reusable modules (RAG components, agent/tool cookiecutters, MCP adaptors, standardized interfaces). You will design evaluation frameworks, test harnesses, and automation pipelines that make quality measurable and repeatable—from unit and integration tests to adversarial/fuzz testing, performance/cost benchmarking, and safety/privacy checks.You will collaborate closely with:<ul><li>Embedded AI Architects and Solution Designers to codify evaluation requirements that mirror real solution patterns.</li><li>AI Engineering to validate PI increments, integrate external technologies, and capture model/agent‑level failure modes.</li><li>DevOps Engineers to wire evaluation gates into CI/CD and release trains.</li><li>Developer Experience Engineers to ensure developers receive clear, actionable evaluation reports and quickstarts.</li><li>Digital Creation Centers and Forward Impact Teams (FITs) to gather field feedback and ensure tests reflect production reality.</li></ul>&nbsp;Why this Role MattersFor modular AI capabilities to scale safely and predictably, we need evidence‑driven quality. This role turns evaluation into a first‑class, automated discipline—ensuring every SDK change is validated for correctness, performance, safety, and operability. You will reduce regressions, raise confidence, and accelerate adoption across products and services that rely on the SDK as their backbone.ROLE RESPONSIBILITIES1) Evaluation Strategy &amp; Quality Architecture<ul><li>Define the evaluation strategy for SDK modules (parsers, retrievers, rankers, connectors, agent tools, MCP adaptors), including metrics, datasets/fixtures, benchmarks, and acceptance thresholds.</li><li>Establish quality gates for release: test coverage minimums, latency/throughput/cost budgets, stability envelopes, and backward compatibility checks.</li><li>Establish source code writing principles that align with the widely accepted coding standards and ensure high maintainability degree.</li><li>Create reproducibility standards (seeds, dataset/version pins, environment parity) and evidence capture (reports, artifacts) for auditability.</li></ul>2) Test Harnesses &amp; Automation<ul><li>Build unit, integration, contract, property‑based, and fuzz/adversarial test harnesses for SDK components; standardize fixtures for RAG and agent scenarios (vector stores, document corpora, tool execution).</li><li>Partner with DevOps to integrate tests and quality gates into CI/CD (parallelization, matrix runs, caching) and to fail builds on significant regressions or unmet quality bars.</li><li>Design benchmark suites for performance and cost profiling (e.g., latency distributions, throughput, memory/CPU footprints) with clear pass/fail criteria.</li></ul>3) Safety, Privacy &amp; Guardrails<ul><li>Codify safety evaluations (toxicity/abuse prompts, jailbreak resistance, sensitive data leakage risks) and policy adherence tests for agent/tool behaviors.</li><li>Validate security-by-design aspects of SDK usage (authn/z integration points, secrets handling, data minimization); coordinate with Platform/Security for service consumers.</li><li>Ensure privacy and compliance checks are represented in test plans and evidence bundles (PII handling, retention, deletion workflows).</li></ul>4) Observability-by-Design for Libraries<ul><li>Work with Capability Architecture and DevOps to embed diagnostic hooks suitable for libraries (structured logging, metrics/traces toggles) and define SLIs relevant to consuming services.</li><li>Verify error models (exceptions/types/codes) and retry/backoff behaviors; ensure runbooks and troubleshooting guides are informed by evaluation results.</li></ul>5) Data &amp; Datasets Governance for Evaluation<ul><li>Curate and version evaluation datasets (synthetic and real-world samples where appropriate); maintain data lineage and provenance.</li><li>Implement dataset health checks (drift, representativeness, coverage) and red‑team suites that evolve with product use cases.</li><li>Align dataset usage with legal/privacy guidance; document constraints and approvals.</li></ul>6) Developer Experience &amp; Enablement<ul><li>Produce evaluation reports and quality dashboards that developers can interpret quickly (summary + drill‑downs + diffs vs. baseline).</li><li>Collaborate with Technical Writers and Developer Experience engineers to include evaluation guidance, quickstarts, and troubleshooting in SDK docs.</li><li>Provide templates for teams to extend evaluation suites when contributing new modules via feature branches.</li></ul>7) Collaboration &amp; Continuous Improvement<ul><li>Close feedback loops with Embedded Architecture, Solution Design, AI Engineering, Creation Centers, and FITs to keep evaluation aligned with production realities.</li><li>Lead post‑release and incident reviews to improve test coverage, resilience, and guardrails.</li><li>Track and improve quality KPIs (escaped defects, regression counts, benchmark variance, time-to-detect/repair).</li></ul>MEASURES OF SUCCESS<ul><li>Safety &amp; compliance: Guardrail tests pass; reduced policy violations; documented evidence meets audit requirements.</li><li>DX &amp; adoption: Clear evaluation reports improve developer confidence; faster time‑to‑first‑success for consuming teams.</li><li>Continuous Improvement: Actionable insights from incidents and field feedback lead to expanded test suites and stronger guardrails.</li><li>Process Excellence: Data-driven evaluation of the efficiency, quality and consistency of the SDK testing and quality workflows.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>7+ years in QA/Quality Engineering/Evaluation for SDKs, libraries, or platform components in software/AI contexts.</li><li>Hands‑on experience building automated test frameworks (unit/integration/contract) and benchmark suites; strong Python testing fluency (e.g., pytest, property-based testing, fuzzing).</li><li>Proficiency with CI/CD systems (GitHub Actions, Azure DevOps, GitLab CI) and integrating quality gates (coverage, performance, security).</li><li>Working knowledge of AI/ML or GenAI patterns (RAG, vector stores, agents/tools) and evaluation considerations for these workloads.</li><li>Strong grasp of reproducibility, data governance, and observability‑by‑design for libraries.</li></ul>Preferred Qualifications<ul><li>Experience with adversarial/red‑teaming methodologies for LLM‑enabled features and safety guardrails.</li><li>Background in performance engineering (profiling, optimization, latency/cost analysis) for Python libraries.</li><li>Familiarity with security and privacy testing (static analysis, secrets scanning, dependency hygiene, PII handling).</li><li>Exposure to regulated environments (healthcare/pharma/finance) and audit‑ready evidence capture.</li><li>Comfortable collaborating across architecture, DevOps, DX, LLMOps, platform, and product teams in matrixed organizations.</li></ul>

Senior Manager, Evaluation & QA Engineer 4949162

Our client, a leading international company with about 300 employees worldwide, including 40+ in Greece, is seeking a&nbsp;Cybersecurity System Engineer&nbsp;to strengthen the security posture and contribute to the IT infrastructure for a global leader in water and wastewater innovation for their office either in Thessaloniki or Lucerne (hybrid).What You’ll Be Doing:<ul><li>Design, build, and maintain secure&nbsp;Azure&nbsp;and&nbsp;Windows&nbsp;infrastructures.</li><li>Define and implement&nbsp;security policies, processes, and&nbsp;technical standards&nbsp;to safeguard the organization’s systems and data.</li><li>Actively monitor IT environments for security threats, plan and perform&nbsp;security assessments.</li><li>Collaborate&nbsp;closely with IT, DevOps, and development teams to embed security into system architectures and application lifecycles.</li><li>Manage&nbsp;security appliances&nbsp;and technologies such as firewalls, VPNs, intrusion prevention/detection systems (IDS/IPS), and endpoint protection platforms.</li><li>Maintain clear and comprehensive&nbsp;documentation&nbsp;for security standards, procedures, and incident handling.</li></ul>What We’re Looking For:<ul><li>Degree&nbsp;in Computer Science, Information Security, or a related technical field.</li><li>2+ years of experience in system engineering with a security focus on&nbsp;Azure and Windows environments.</li><li>Strong hands-on knowledge of&nbsp;network security&nbsp;concepts,&nbsp;cloud&nbsp;security methodologies,&nbsp;risk assessments&nbsp;and compliance (ISO 27001, NIS2, CRA).</li><li>Familiarity with security operations tools like SIEM, IDS/IPS, endpoint protection, and vulnerability management platforms.</li><li>Strong analytical mindset with excellent communication skills in both Greek and English.</li><li>Scripting and automation experience (PowerShell, Python, or similar) is a plus.</li></ul>What’s Offered:<ul><li>Unlimited contract</li><li>Medical Care package</li><li>An international working environment</li><li>Flexible working arrangements</li><li>Opportunities for personal development</li></ul>Interested?Please send your CV to&nbsp;alexandros.iosifidis@grecruitment.com&nbsp;and mention the job title.

Cybersecurity System Engineer (hybrid)

As Senior Manager, LLMOps &amp; AI Integration Engineer (Individual Contributor), you will lead the model integration, agent/tooling, and LLM operations strategy for our pip‑installable AI Capabilities SDK. You will design and maintain clean, extensible interfaces for LLMs, embeddings, retrieval, tool execution, and agentic workflows; build runtime guards and evaluation hooks; and optimize latency, reliability, and cost—so teams can embed AI safely and predictably.You will collaborate closely with:<ul><li>Embedded AI Architecture and Solution Design to prioritize capabilities and define interfaces aligned to real-world solution patterns.</li><li>AI Engineering to deliver PI increments, integrate external technologies, and codify model/agent failure modes and mitigations.</li><li>Digital Creation Centers and Forward Impact Teams (FITs) as consumers of the SDK, capturing feedback to refine ergonomics and performance.</li><li>DevOps, Evaluation &amp; QA, and Developer Experience engineers to wire guardrails, evaluation, and developer-ready assets into CI/CD and docs.</li></ul>Why this Role MattersLLMOps sits at the intersection of capability, safety, and operability. By turning complex model/agent behaviors into well-abstracted, evaluable, and observable SDK modules, you enable teams to deliver AI features fast with safety—reducing bespoke implementations, ensuring reproducibility, and controlling latency/cost at scale. Your work is foundational for platform services that rely on the SDK as their backbone.ROLE RESPONSIBILITIES1) Model &amp; Agent Integration Architecture<ul><li>Design Python SDK interfaces for LLM clients, embeddings, tokenization, and structured outputs (e.g., Pydantic/JSON schemas).</li><li>Implement function/tool calling abstractions, agent orchestration patterns (ReAct-like, planner/executor), and MCP adaptors for interoperable tools.</li><li>Provide configuration and secrets integration points that downstream services can adopt consistently (env vars, config schemas, key management hooks).</li></ul>2) Retrieval &amp; RAG Components<ul><li>Build RAG modules (document loaders, chunking/segmentation, embeddings, retrievers, rerankers) with pluggable backends (vector stores, search indices).</li><li>Standardize connectors and interface contracts for common data sources; ensure reproducible pipelines and SDK↔service parity of behaviors.</li><li>Optimize retrieval quality via evaluation hooks (precision/recall, MRR, hit rate) and tunable parameters (top‑k, thresholds).</li></ul>3) Guardrails, Safety &amp; Policy Integration<ul><li>Codify safety guardrails: prompt hygiene, jailbreak resistance, content filters, sensitive topic/policy checks, red‑team/adversarial probes.</li><li>Integrate privacy/security controls: data minimization, PII detection flags, safe logging, and deterministic truncation strategies.</li><li>Provide policy‑as‑code hooks and pre/post‑processing middleware to enforce runtime constraints within SDK flows.</li></ul>4) Performance, Reliability &amp; Cost Engineering<ul><li>Implement caching, batching, retry/backoff, circuit breakers, and fall‑back strategies across model/tool calls.</li><li>Profile and tune latency, throughput, and token usage/cost; expose configuration knobs and budget guards (token and cost caps).</li><li>Maintain benchmark suites and regression baselines for model and retrieval components; block releases on significant degradations.</li></ul>5) Observability‑by‑Design for Libraries<ul><li>Embed telemetry hooks (structured logs, metrics, traces) suitable for a library so that services consuming the SDK can attach enterprise observability.</li><li>Define SLIs relevant to LLMOps (latency, error rates, cache hit ratio, token usage, cost per call) and document runbook guidance for downstream teams.</li><li>Standardize error models and return types to ensure predictable handling across consuming services.</li></ul>6) Evaluation &amp; CI/CD Integration<ul><li>Partner with Evaluation &amp; QA Engineers to build test harnesses (unit/integration/contract/fuzz/adversarial) and benchmark suites for agents/tools, RAG, and model endpoints.</li><li>Work with DevOps Engineers to wire quality gates into CI/CD: coverage thresholds, performance budgets, safety checks, SBOM/signing for release artifacts.</li><li>Provide fixtures and simulators to enable deterministic tests across backends (vector stores, providers).</li></ul>7) Developer Experience &amp; Enablement<ul><li>Collaborate with Developer Experience and Technical Writers to deliver quickstarts, sample apps, notebooks, and code recipes for common patterns (RAG, agents, tool use, structured outputs).</li><li>Contribute to cookiecutters/CLI scaffolds that prewire configuration, tests, telemetry, and guardrails for new modules or integrations.</li><li>Support community contribution workflows (feature branches, PR checks, doc acceptance criteria) and mentor contributors on best practices.</li></ul>8) Collaboration &amp; Continuous Improvement<ul><li>Close feedback loops with Embedded Architecture, Solution Design, AI Engineering, Creation Centers, and FITs to refine APIs, defaults, and ergonomics.</li><li>Participate in post‑release retrospectives and incident reviews to strengthen guardrails, performance tuning, and developer experience.</li><li>Track and improve LLMOps KPIs (latency, cost per call, error rates, cache hit ratios, evaluation pass rates).</li></ul>MEASURES OF SUCCESS<ul><li>Performance &amp; cost: Latency and token/cost budgets consistently met; cache hit ratios improved; fewer performance regressions.</li><li>Safety &amp; reliability: Guardrail tests pass; reduced policy violations and incident rates; predictable error handling.</li><li>Adoption &amp; DX: Faster time‑to‑first‑success for consuming teams; positive developer feedback on APIs and examples.</li><li>Evaluation coverage: Benchmarks and adversarial tests integrated; high pass rates; clear baselines with trend reporting.</li><li>SDK↔Consumer parity: Consistent behavior across downstream services; reduced bespoke integrations and rework.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>7+ years in software/AI engineering with significant experience in LLMOps or model/tool integration for Python libraries.</li><li>Deep proficiency in Python and building extensible SDKs (interfaces, packaging, semantic versioning, backward compatibility).</li><li>Hands‑on with GenAI/LLM ecosystems (e.g., tool/function calling, structured outputs, prompt orchestration) and RAG components (embeddings, retrievers, rerankers, vector stores).</li><li>Strong grasp of performance engineering (profiling, caching, batching), resilience patterns (retry/backoff, circuit breakers), and cost control (token budgeting).</li><li>Experience embedding observability hooks and integrating evaluation/benchmarks into CI/CD pipelines.</li></ul>Preferred Qualifications<ul><li>Familiarity with agent frameworks, MCP adaptors, and multi‑provider model client abstractions.</li><li>Experience with adversarial/safety testing, privacy/PII considerations, and policy‑as‑code guardrails.</li><li>Background in open-source workflows (feature branches, PR reviews) and multi‑backend integration (vector DBs, search, storage).</li><li>Exposure to regulated environments (healthcare/pharma/finance) and audit‑ready evidence capture.</li><li>Comfortable collaborating across architecture, DevOps, QA, DX, platform, and product teams in matrixed organizations.</li></ul>

Senior Manager, LLMOps & AI Integration Engineer 4949157

As an AI Solution Engineer, you will be a senior technical contributor within the AI Architecture &amp; Solution Design department, supporting the design and delivery of AI-powered business products and reusable capabilities. You will work closely with Embedded AI Solution Architects and the Enterprise AI Capability Design Team to produce solution designs, artefacts, and SDK components that accelerate adoption and scale.This role is designed as a growth path toward AI Solution Architect. You will blend skills in software engineering, system design, AI engineering, and cloud architecture—not as an expert in all domains, but as a versatile engineer eager to deepen expertise across them. You will contribute to end-to-end solution design for less complex products, assist architects on high-impact initiatives, and help design modular SDK components for enterprise reuse. Over time, you will develop the ability to produce full solution blueprints and guide development teams independently.Why this Role MattersAI Solution Engineers are the scaling force behind architecture excellence. By supporting architects and taking ownership of smaller designs, you enable the department to deliver robust, composable, and future-proof AI solutions at speed. You also form the talent pipeline for next-generation AI Solution Architects, ensuring continuity and growth of architectural capability across the enterprise.ROLE RESPONSIBILITIES1) Solution Design Support<ul><li>Partner with Embedded AI Solution Architects to design solution architectures for prioritized business products; assist in producing artefacts such as:<ul><li>System Context Diagrams</li><li>Data Flow Diagrams</li><li>Entity-Relationship Models</li><li>DB Schema/Relationship Designs</li><li>Sequence Diagrams</li><li>Integration Contracts and ADRs</li></ul></li><li>Support end-to-end design readiness: evaluation coverage, observability plans, security/privacy considerations, documentation completeness, cost optimization and AI workloads resource planning.</li></ul>2) Ownership of Less Complex Designs<ul><li>Act as Solution Designer for smaller or less complex products, producing implementation-ready blueprints aligned to department standards.</li><li>Ensure designs are modular, reusable, and aligned with enterprise architecture principles; maximize leverage of SDKs, modules, and platform services.</li></ul>3) SDK &amp; Capability Contribution<ul><li>Collaborate with the Enterprise AI Capability Design Team to design and implement SDK components and modules for common AI patterns (e.g., RAG, document intelligence, agentic workflows).</li><li>Contribute to API design, integration guides, and code samples; ensure parity between SDK and service implementations.</li></ul>4) Growth &amp; Skill Development<ul><li>Engage in a structured apprenticeship program with rotation opportunities across Embedded Architecture and Capability Design teams to grow platform, technology and tools knowledge.</li><li>Build proficiency in system design, AI engineering, cloud-native architecture, and evaluation frameworks; progressively take on more complex design ownership.</li><li>Participate in design reviews, retrospectives, and knowledge-sharing sessions to accelerate learning.</li></ul>5) Documentation &amp; Knowledge Management<ul><li>Produce clear, complete artefacts for all assigned designs; adhere to documentation standards defined by Technical Writers and Operations Excellence.</li><li>Contribute to pattern libraries and exemplars; ensure designs are indexed and discoverable for reuse.</li></ul>6) Cross-Team Collaboration<ul><li>Work closely with AI Architects, Solution Designers, Software Engineers, and DevOps Engineers to ensure seamless handoff from design to implementation.</li><li>Partner with Platform team on service boundaries, observability, and security readiness for designs that require managed services.</li></ul>MEASURES OF SUCCESS<ul><li>Design quality and completeness: Artefacts meet standards; fewer gaps at architecture review.</li><li>Delivery impact: Assigned designs implemented successfully; reduced rework and improved time-to-first-value.</li><li>Reuse and alignment: Designs leverage SDKs/modules and platform services; minimal bespoke components.</li><li>Skill progression: Demonstrated growth toward AI Solution Architect readiness; positive feedback from mentors and rotation leads.</li><li>Collaboration effectiveness: Strong partner feedback from architects, engineers, and product teams.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>5+ years in software engineering or solution design roles, with exposure to system architecture, cloud-native development, and AI/ML integration.</li><li>Strong proficiency in modern programming languages (e.g., Python, Java, or similar) and familiarity with API design and integration patterns.</li><li>Working knowledge of cloud platforms (Azure, AWS, or GCP) and associated services for compute, storage, and security.</li><li>Ability to produce architecture artefacts (diagrams, ADRs, integration specs) and communicate design decisions clearly.</li><li>Demonstrated growth mindset and willingness to develop expertise across AI engineering, system design, and architecture.</li></ul>Preferred Qualifications<ul><li>Experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and GenAI/LLM ecosystems (prompt engineering, RAG, vector databases, agent frameworks).</li><li>Familiarity with CI/CD pipelines, observability tooling, and security-by-design principles.</li><li>Exposure to enterprise architecture standards and regulated environments (healthcare, pharma, finance).</li><li>Hands-on experience with data modeling, evaluation frameworks, and performance tuning for AI workloads.</li></ul>

Manager, AI Solution Engineer 4949153

What Impact will you make?&nbsp;Are you looking for an&nbsp;opportunity&nbsp;in&nbsp;Thessaloniki&nbsp;that offers you a&nbsp;hybrid working model?Are you ready to work on&nbsp;large scale&nbsp;projects for industry-leading clients&nbsp;around the world and elevate your&nbsp;career&nbsp;to an&nbsp;international level?If so, check below for more info about this career&nbsp;opportunity!You bring passion, we bring opportunities!#YourOpportunityDeloitte is a worldwide leader in Professional Services with a presence in more than 150 countries and territories. Since 2018, Deloitte has been operating its Alexander&nbsp;Competence Center in Thessaloniki with satellites in the cities of Patras, Heraklion, and Ioannina&nbsp;- which are model hubs of expertise, training, and innovation, specializing in cutting-edge exponential technologies, in which graduates and young professionals undergo immersive experiences, continuous learning, gaining practical insights and hands-on training that empower them to navigate the complexities of the digital landscape.Deloitte is an ideal working environment for&nbsp;both young and senior professionals&nbsp;who want to take the next step in their careers, offering them a supportive and international working environment that leverages their expertise and potential. Its corporate culture is based on trust and collaboration and ensures diversity and inclusion so that everyone feels part of a great team.We are currently seeking for ambitious team players to become part of our&nbsp;dynamic Extended Enterprise team&nbsp;within our department in&nbsp;Thessaloniki.#Would you like to learn more AboutYourTeamOur Extended Enterprise team, a part of Cyber and Technology &amp; Transformation at Deloitte, is one of the fastest-growing practices within the firm. We are dedicated to supporting companies in assessing and managing risks associated with IT products and services, guiding them towards risk minimisation while optimising the balance between risk and business performance.What We Do:We offer comprehensive operational, strategic, and methodological support aimed at optimising IT asset costs, improving IT governance, and streamlining processes. Leveraging our extensive experience in model implementation and end-to-end managed service technology solutions, we guide companies through their digital transformation journey to achieve critical strategic objectives.<ul><li>Design, lead, and manage the transformation of IT organisations, processes, and tools, focusing on managing the lifecycle of IT assets, including hardware, software, and Cloud, in alignment with enterprises' Digital Transformation and Cloud Journey;</li><li>Utilise and build upon our proprietary framework, developed through years of industry experience and based on international best practices and standards (e.g., ITIL, ISO, FinOps), to deliver exceptional support;</li><li>: Apply advanced technologies to analyse and design end-to-end business processes. Identify inefficiencies using quantitative and qualitative techniques, support large-scale data collection, and implement optimal business processes to mitigate identified risks across various domains (operational, legal, reputational, regulatory, economic, etc.);</li><li>Harness the power of Generative AI and data analysis tools to innovate and enhance IT solutions, drive automation, and provide cutting-edge insights for transforming business processes. Explore and experiment with the implementation of advanced data analysis and programming tools to further optimise IT operations.</li><li></li></ul>#AboutYourRoleAs a&nbsp;Technology&nbsp;Consultant, you will play a pivotal role in supporting our clients during the management of their IT ecosystems improving their efficiency and maximizing their investments. This role offers a unique opportunity to work on diverse projects, collaborating with cross-functional teams and leveraging your expertise to deliver value-added insights.You will support Clients in managing their IT Assets during the whole lifecycle, by analyzing IT systems and their main components: Hardware, Software and Cloud assets and provide advisory on IT related projects and initiatives.Such projects may involve, but are not limited to, IT cost monitoring, IT cost optimization &amp; cost reduction, technological obsolescence etc.As part of our team, you will receive trainings on the installation &amp; implementation of tools/technologies that provide up-to-date information on IT infrastructures and help automate the monitoring of IT Assets.On the other hand, you will support Clients in understanding the contractual compliance toward Software usage based on licensing politics applied by Vendors.Lastly, you will also have Project Management related responsibilities, like following up on unpaid invoices or updating our executive reporting on a weekly basis. Regarding experienced candidates:&nbsp;<ul><li>Engage in various publisher projects (e.g. Microsoft) building your experience in the field of software license compliance and IT asset management</li><li>Be part and actively contribute to the Center Of Excellence of the relevant publishers and the IT Asset Management community</li><li>Support a team of Software licensing specialists to audit clients on behalf of different publishers and ITAM technology experts to advise clients on license optimization (e.g. Snow software)<ul><li>Prepare and implement risk analyses based on understanding the tech environment against the terms and conditions of their contracts.</li><li>Process extracted data and perform data analytics to quantify the financial and operational compliance with the contract.</li><li>Maintain IT Asset Management technology to advise clients on their license use and financial/compliance risk.</li></ul></li><li>Prepare all client deliverables such as calculations and reports. Support in drafting and proposing concrete improvements to our clients.</li><li>Support commercial activities and contribute to the further development of the Extended Enterprise team.</li></ul> #OurRequirementsLet’s talk about you·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;You obtained a&nbsp;Bachelor or Master degree in Business, Computer Science and Information Technology, Computer Information Systems, or have an equivalent qualification.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;You have an advanced level of written and oral communication in&nbsp;English.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;You have a good knowledge of&nbsp;MS Office, particularly&nbsp;MS Excel&nbsp;and&nbsp;MS Outlook·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;You are interested or would like to learn about IT Asset Management &amp; IT Cost Management·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;You have a critical and analytical mindset, you are flexible and have openness for feedback·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;You have an eye for detail, as you will be involved in executive reporting·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;You are eager to learn and a fast learner·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;You easily make logical connections·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;You can work well both independently and in teams, showcasing good communication skills·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;You are committed to contribute to the continuous improvement of our processes and procedures·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;You behave professionally, and (pro-actively) communicate to management For experienced candidates:Have an affinity towards IT and technology and are eager to learn. Experience in licensing, general IT and/or IT Asset Management is a plus.Solid written and verbal presentation skills.You are a team player yet self-reliant, you know how to manage your own work and responsibilities.A positive attitude with the ability to motivate a team and bring out their best qualitiesYou are enthusiastic and enjoy working in a multi-disciplinary and multi-cultural environment where joint efforts result in success.Fluent English. Other languages are an advantage.A Bachelor or Masters in Information Technology, Business Engineering with a major in Information Systems Management or any other IT related degree.At least 2 years of experience with Microsoft Licensing<ul><li></li></ul> #Nicetohave·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;German proficiency and/or advanced level of written and oral communication would be an advantage.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Programming Skills: Proficiency in programming to support data analysis and visualisation (e.g. PowerShell, MySQL, Power BI, etc).·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Technical Knowledge: Understanding of IT infrastructure functioning (on premise, cloud, hybrid).·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Possession of certifications such as ITAM, ITIL and Cloud Fundamentals.If you're ready to take your career to the next level in a challenging international environment, focusing on continuous learning and dynamic teamwork, both in Greece and abroad, you're ready for Deloitte! #WhatWeOfferAt Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits:🏠&nbsp;Modern hybrid workplace, characterized by flexibility and Smart Working⚖&nbsp;Empowered well-being: We provide multiple program offerings to support your well-being needs (flexible working arrangements, extra days of leave, parental allowances)🌍&nbsp;Engagement within international large-scale teams and projects, with opportunities to travel for training or client purposes.📚&nbsp;Constant opportunities for learning with unlimited access to internal and external learning platforms and sponsored certificates aligned with business needs and technology trends🚀&nbsp;Challenging and innovating environment where personal development and growth are encouraged, always with transparency and trust?&nbsp;Diverse culture and active communities that enable you to bring yourself to work🎉&nbsp;Team Building and Corporate Social Responsibility Activities🏃&nbsp;A buddy to support you with your onboarding🌴&nbsp;Extra days of annual leave⚕&nbsp;Private medical health insurance plan💳&nbsp;Ticket restaurant card?&nbsp;Exclusive Discounts to several retail providers, restaurants and others📱&nbsp;Mobile phone🍏&nbsp;Fresh fruits and unlimited coffee everyday at our officesAbout Deloitte#OurServicesDeloitte offers integrated services that include Audit, Consulting, Financial Advisory, Risk Advisory, Tax and Legal. Our approach combines insight and innovation from multiple disciplines with global business and industry expertise to help our clients excel anywhere in the world. We deliver outstanding impact on the reputation and success of our clients, in Italy and globally. In pursuing this we contribute to a sustainable and prosperous society, and are firm believers in the positive impact business can and should have on the world it operates within.#OurPurposeWe are led by a purpose, to make an impact that matters with clients, people and society. This purpose defines who we are and what we stand for. It's not about being the biggest. It’s about being the first choice for the largest and most influential clients, and the first choice for the best talent.#OurValuesAt Deloitte we foster a collaborative culture where talented individuals can produce their best work. We value innovative thinking, diverse insights and a genuinely distinctive level of customer service through our expertise and professionalism. We value difference, with respect at the heart of our inclusive culture.#OurTalentExperienceFrom day one at our firm, practitioners are part of a community. Our development and career progression framework will help them develop the skills and capabilities to succeed. The wellness of our people and the ability to offer agile working arrangements is at the center of our unique talent experience. We create a workplace that encourages collaboration, creativity, inclusiveness to ensure our staff are supported, encouraged and feel a sense of purpose and meaning in what they do each day.Sounds like the sort of role for you? Apply now.Location:&nbsp;Thessaloniki

Software Asset Management Consultant @Thessaloniki

As Senior Manager, Software Engineer (Individual Contributor), you will be a senior technical authority within the Enterprise AI Capability Design Team, responsible for designing and implementing modular, reusable AI capabilities in the form of SDKs and associated components. Your mission is to build developer-first, extensible SDKs that enable internal teams and the broader community to integrate AI capabilities seamlessly into applications, while maintaining consistency, quality, and performance.You will design and implement core modules for RAG pipelines, agent and tool cookiecutters, MCP adaptors, and standardized interfaces that allow community-driven extensions. You will also collaborate on automated pipelines for code quality checks, benchmarking, and integration tests, ensuring every capability meets enterprise-grade standards for reliability, security, and observability.This role requires close collaboration with:<ul><li>Embedded AI Architecture Team and Solution Design Team to prioritize capabilities and define SDK interfaces aligned to real-world solution patterns.</li><li>AI Engineering Team, which actively develops PI increments of the SDK and integrates external technologies.</li><li>Digital Creation Centers and Forward Impact Teams (FITs), who will consume these capabilities in product delivery and provide feedback for continuous improvement.</li></ul>Why this Role MattersThis role is the engineering backbone of our AI capability strategy. By delivering high-quality SDKs and reusable modules, you enable rapid adoption, reduce bespoke engineering, and ensure parity between SDK and service implementations. Your work directly impacts developer experience, scalability, and the ability to operationalize AI capabilities across the enterprise.ROLE RESPONSIBILITIES1) SDK &amp; Module Development<ul><li>Design and implement modular SDK components for AI capabilities, including:<ul><li>RAG pipeline modules (parsers, chunkers, enrichers, retrievers, rankers, connectors)</li><li>Cookiecutters for agents and tools with MCP adaptors</li><li>Standardized interfaces for community-driven extensions</li></ul></li><li>Ensure SDKs are extensible, composable, and versioned with clear upgrade paths.</li></ul>2) Collaboration &amp; Interface Definition<ul><li>Work closely with Embedded AI Architects and Solution Designers to define SDK interfaces and design patterns based on prioritized use cases.</li><li>Partner with AI Engineering Team to integrate external technologies, validate new components, and align on PI increments for SDK evolution.</li><li>Engage with Digital Creation Centers and FITs to capture feedback on usability, performance, and integration experience.</li></ul>3) Code Quality &amp; Testing Automation<ul><li>Collaborate with Evaluation &amp; QA Engineers to integrate unit, integration, and performance tests into CI/CD pipelines.</li><li>Implement automated code quality checks, linting, and security scans for SDK components.</li><li>Contribute to benchmarking frameworks for new modules and features.</li></ul>4) Developer Experience &amp; Enablement<ul><li>Work closely with Developer Experience Engineers to deliver clear APIs, ergonomic SDK design, and developer-friendly documentation.</li><li>Provide quickstarts, code samples, and integration guides to accelerate adoption.</li><li>Participate in community enablement efforts, ensuring SDK interfaces are intuitive and extensible.</li></ul>5) Architecture &amp; Standards Alignment<ul><li>Align SDK design with enterprise architecture principles, ensuring parity with service implementations.</li><li>Collaborate with AI Capability Architecture Lead on interface contracts, observability hooks, and security-by-design patterns.</li><li>Maintain semantic versioning and backward compatibility policies for SDK releases.</li></ul>MEASURES OF SUCCESS<ul><li>SDK quality and adoption: High developer satisfaction; increased reuse across products; minimal bespoke implementations.</li><li>Release health: Predictable release cadence; automated quality gates; successful integration tests.</li><li>Performance and reliability: SDK modules meet latency, throughput, and cost targets; observability hooks implemented.</li><li>Community engagement: Positive feedback on extensibility and contribution workflows; active feature branch participation.</li><li>Documentation completeness: Clear quickstarts, code samples, and integration guides delivered with each release.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>7+ years in software engineering roles with strong experience in API/SDK design and modular architecture.</li><li>Proficiency in modern programming languages (Python required).</li><li>Hands-on experience with cloud-native development (Azure, AWS, or GCP) and containerized environments.</li><li>Strong understanding of CI/CD pipelines, automated testing, and code quality practices.</li><li>Ability to produce developer-friendly SDKs with clear documentation and ergonomic interfaces.</li><li>Proficiency in Git-based workflows (feature branches, PR reviews, semantic versioning)</li></ul>Preferred Qualifications<ul><li>Experience with AI/ML frameworks (PyTorch, TensorFlow) and GenAI/LLM ecosystems (prompt tooling, RAG, vector databases, agent frameworks).</li><li>Contribution to open-source projects and/or community-driven extensions.</li><li>Exposure to observability tooling (metrics, tracing, logging) and security-by-design principles.</li><li>Background in performance engineering and benchmarking for AI workloads.</li><li>Experience in regulated environments with audit-ready documentation and compliance standards.</li></ul>&nbsp;

Senior Manager, Software Engineer 4949163 

The Manufacturing Technology &amp; Solutions team enables a world-class manufacturing and supply chain organization by increasing visibility and efficiency across diverse systems and processes, and delivering predictive analytics and insights. The team supports Pfizer’s Core Manufacturing &amp; Engineering Solutions, while enabling a secure, seamless flow of contextualized data from the device &amp; control levels, all the way to the top of the Enterprise. Our goal is to create persona driven, connected experiences across our shop floors to predict and optimize operations, while providing intelligence, and real-time insights to operators. Key&nbsp;functional areas:<ul><li>Strategy &amp; Operation Excellence</li><li>Global Supply Engineering &amp; Sustainment</li><li>Manufacturing Operations Solutions</li><li>E2E Network Solutions</li></ul>We are seeking a dynamic and technically adept Product Owner to lead the adoption, support, and continuous enhancement of the electronic On-the-Job Training (eOJT) solution across all EMEA manufacturing sites. This role is pivotal in driving digital transformation in training operations, ensuring GMP compliance, and aligning cross-functional teams to deliver impactful, scalable solutions.ROLE RESPONSIBILITIESThe Senior Associate, Smart Factory colleague’s responsibilities may include, but are not limited to:Product Ownership &amp; Strategy<ul><li>Own the product vision and roadmap for the eOJT solution across EMEA sites.</li><li>Define and prioritize features and enhancements based on business needs, user feedback, and compliance requirements.</li><li>Lead the transition from paper-based to digital OJT processes, ensuring alignment with global rollout strategies and dependent systems (e.g., LMS, SAP).</li></ul>Adoption &amp; Stakeholder Engagement<ul><li>Drive site-level adoption through product demo, training, communications, and stakeholder alignment.</li><li>Serve as the primary liaison between site teams, Smart Factory Technology, and global program leads.</li><li>Coordinate with site champions, trainers, and learning specialists to ensure successful onboarding and sustained usage.</li></ul>Technical Oversight &amp; Vendor Management<ul><li>Collaborate with development teams to deliver new features (e.g., waiver workflows, trainer qualification logic, reporting enhancements).</li><li>Manage vendor relationships, including contract oversight, performance tracking, and release coordination.</li><li>Ensure integration with Pfizer’s LMS and analytics platforms, maintaining data integrity and audit readiness.</li></ul>Release &amp; Communication Management<ul><li>Own the release calendar for eOJT versions (e.g., v3.0, v3.1), including feature rollout, change control documentation, and stakeholder communications.</li><li>Prepare and distribute release notes, demo materials, and training guides.</li><li>Coordinate go-live communications and post-deployment support across sites.</li></ul>Operational Efficiency &amp; Support<ul><li>Monitor system performance and usage metrics to identify opportunities for optimization.</li><li>Serve as the first point of contact for end-user inquiries, providing timely and effective support.</li><li>Triage incoming support tickets, ensuring resolution through collaboration with technical teams or vendors.</li><li>Maintain a knowledge base and FAQs to support self-service and reduce recurring issues.</li></ul>Cross-Functional Collaboration<ul><li>Align with global and site-specific stakeholders including QA, IT, Learning &amp; Development, and Manufacturing.</li><li>Facilitate requirement gathering sessions, workshops, PI planning, and retrospectives.</li><li>Ensure feedback loops are in place to continuously improve the solution and user experience.</li></ul>BASIC QUALIFICATIONS<ul><li>BS in Engineering or Technology based subjects(s) or equivalent experience.</li><li>3+&nbsp;years related work experience.</li><li>Relevant domain experience in manufacturing and/or quality operations.</li><li>Experience in all stages of solution and application lifecycle from value analysis, business case development, and solution deployment through to value realization and system retirement is a significant advantage.</li><li>Ability to work across multiple concurrent activities and successfully adapt to changing priorities as required.</li><li>An understanding of system cGMP requirements and demonstrable knowledge of computer system design and maintenance lifecycle in cGMP environments.</li><li>Proven experience in product ownership or product management within a digital or manufacturing environment.</li><li>Familiarity with GMP-compliant systems, LMS platforms, and enterprise integration (e.g., SAP Success Factor, MES).</li><li>Experience with agile methodologies, backlog management, and release planning using project tracking tools (e.g. Jira).</li><li>Ability to translate business needs into product requirement documents and function requirement documents.</li><li>Experience writing epics, user stories, and acceptance criteria.</li><li>Possesses an innovative and entrepreneurial mindset.</li></ul>PREFERRED QUALIFICATIONS<ul><li>1-3 years’ experience in a Global Solution environment focused on the build and deployment</li><li>Hands on experience in a manufacturing facility.</li><li>Prior experience with e-learning or training systems in a regulated industry.</li><li>Exposure to AI-powered training tools or agentic frameworks.</li><li>Experience supporting multi-site deployments and managing change at scale.</li></ul>

Senior Associate, Smart Factory Product Owner 4947880

The Sr. Director, AI &amp; Data is responsible for directly overseeing and organizing wide-reaching Pfizer initiatives through digital-wide initiatives, or via horizontal platforms and products. As an individual contributor, your primary impact is through your direct work. As a people manager, you are responsible for leading and directing your team to accomplish wide-reaching strategic goals. You are a widely recognized expert in your technical domain able to articulate clearly to a deep technical level and you are equally comfortable with forming business objectives and producing clear business-facing outcomes.This role reports to the VP of Enterprise Architecture which is responsible for the enterprise-wide architecture. &nbsp;Key accountabilities:<ul><li>Lead a team of architects responsible for supporting business strategies and priorities across all domains in Pfizer involving AI &amp; Data Enterprise Architecture.</li><li>Deliver Enterprise Architecture Outcomes including creation of detailed Solution Sketches, City Plans, and Solution Architecture Diagrams as necessary.</li><li>Lead multifaceted, unique, and long-term initiatives with high strategic value, directing colleagues and contractors to produce Enterprise guidance and roadmaps across multiple business lines and global organizations.</li><li>Influence and direct a cross- functional team from creation centers, business architects and technical SME’s towards a common technical vision.</li><li>Advise Senior leadership on emerging technology landscape externally and internally and enable adoption to minimize total cost of ownership and an optimized application portfolio.&nbsp;</li><li>Lead initiatives to bring new technology into Pfizer including the contracting process, co-leading RFIs and RFP responses, and producing a technical fit assessment of each vendor.</li></ul>ROLE RESPONSIBILITIES<ul><li>Domain Expertise – Data &amp; AI:</li><li>Establish and enforce enterprise-wide AI standards, governance frameworks, and guardrails to ensure responsible, ethical, and compliant development and deployment of AI solutions across the organization.</li><li>Design and architect a centralized AI platform that supports scalable model development, deployment, monitoring, and lifecycle management for commercial, clinical, and operational use cases.</li><li>Lead the integration of AI/ML solutions into business workflows, ensuring alignment with standardized processes, regulatory requirements, and enterprise architecture principles.</li><li>Develop and maintain architecture roadmaps for data and AI capabilities, aligning technology investments with evolving business models and strategic priorities.</li><li>Drive the adoption of cloud-based data and AI platforms, enabling secure, compliant, and interoperable data pipelines and analytics across business units.</li><li>Establish and oversee data governance frameworks—including master data management, data lineage, and metadata standards—to support high-quality, compliant data for AI and analytics.</li><li>Lead the evaluation and implementation of emerging AI technologies (e.g., generative AI, federated learning, synthetic data) to accelerate digital transformation and maintain competitive advantage.</li><li>Collaborate with cross-functional teams to embed AI-driven decision support into commercial, clinical, and operational workflows, enhancing business agility and innovation.</li><li>Mentor and guide data engineers, data scientists, and business analysts, fostering a culture of innovation, continuous learning, and best practices in data and AI architecture.</li><li>Service Delivery:</li><li>Dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect.</li><li>Understands customers’ operational needs and leads strategic direction in both technical and business context.</li><li>Translate complex business requirements into actionable plans while getting to the root of those requirements and completely understanding the space which you’ll be operating under. You will be responsible for both understanding the business context and providing alternatives to the business plan in addition to translating those to technical blueprints.</li><li>Anticipates internal/external business and GCP compliance issues before they arise, and engage the proper colleagues in the organization to fully document the landscape and provide mitigation strategy and business continuity.</li><li>Strategy &amp; Planning:</li><li>Uses innovative business thinking to challenge the status quo and drive identification, quantification, and proposal of business solutions.</li><li>Creates and Leads Enterprise Architecture Initiatives to stay ahead of the technological curve – identifying technologies and solutions before they are implemented.</li><li>Creates actionable plans at the enterprise level to simplify technology systems at every level of the ecosystem.</li><li>Architecture</li><li>Understand and develop business drivers and business capabilities (future and current state) and determine corresponding enterprise system designs and change requirements to drive business outcomes.</li><li>Accountable for the formulation of solution implementation approach, building consensus on approach, and providing technical execution oversight of such solutions.</li><li>Knowledgeable about the many different constraints in the healthcare industry. Can educate others on these constraints and provide expert guidance.</li><li>Understands modern cloud architecture best practices and is well-versed in Amazon Web Services-based and Azure&nbsp; architecture.</li><li>Accountable for maintaining technology profiles, influencing, and enforcing technology standards across the enterprise for the best outcome for all of the organization.</li><li>Communication:</li><li>Is recognized internally and externally as a thought leader and applies this to influence the strategic direction of a Global Business Unit/Global Operating Unit or Division</li><li>Develops and sustains constructive partnerships between business and technical stakeholders to ensure success of programs and products, over the lifecycle of those initiatives. Is a primary decision maker for technical fit.</li><li>Adept at stakeholder management, with the ability to build and maintain strong relationships across all levels of the organization</li><li>Ensures effective, accurate and timely communication across the portfolio; prepares and delivers regular updates on project status, both in written and presentation format, to sponsors, business leaders and stakeholder groups.</li><li>Innovation and Risk Taking</li><li>Creates an environment where innovation is standard, taking appropriate risks to advance innovative processes.</li><li>Is knowledgeable about technical and business constraints to produce the best solution.</li><li>Works with other stakeholders to remove roadblocks while ensuring compliance controls are met.</li><li>Financial Management:</li><li>Effectively manages team budget resources in alignment with product / program needs.</li><li>Understands the funding model and is actively engaged in financial planning for projects and products.</li><li>Co-develops business plans for strategic initiatives and for EA organized efforts.</li><li>Matrixed Team Effectiveness:</li><li>Is highly skilled in a variety of formal presentation settings; one-on-one, small and large groups, with peers, and senior management; is effective both inside and outside the organization; commands attention and can manage group process during the presentation; can change tactics midstream when something isn't working.</li><li>Utilizes negotiation, facilitation, meeting management and conflict resolution skills to enhance cross-functional team performance.</li><li>Arbitrates disagreements among solution stakeholders and makes business decisions/proposals where needed.</li><li>Understands and communicates team roles/responsibilities and ensures all team members have access to project information necessary to be successful.</li><li>Solicits and evaluates vendor proposals to augment internal expertise in service delivery.</li></ul>BASIC QUALIFICATIONS<ul><li>Bachelor’s Degree / Master’s degree from accredited institution</li><li>12+ years of experience in AI &amp; Data Technology.</li><li>Deep Technical Knowledge of AI &amp; Data programs, technical designs &amp; patterns in a High Tech and/or Pharma domain.</li><li>Strong interpersonal and Leadership skills where you are not a direct manager</li><li>Strong diplomacy skills; able to navigate a difficult political environment.</li><li>An “execution mindset” focused on getting things done quickly and simply.</li></ul>PREFERRED QUALIFICATIONS<ul><li>10+ years of experience in AI &amp; Data with proven track record of delivering digital projects</li><li>5+ years of experience working with systems that ensure&nbsp; Pharma processes that fully comply with Industry regulations and quality standards (FDA, GxP).</li><li>5+ years of experience leading the design and architecture of AI &amp; Data solutions to optimize performance across procurement, manufacturing, logistics, and planning.</li><li>Experience with data driven insights to inform decision making and AI-driven technology programs.</li></ul>&nbsp; Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTSPfizer Digital is a 7x24x365 global endeavor.&nbsp;&nbsp;This role may require physical or virtual participation on a weekend, holiday, or after normal business hours.

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